An example autonomous or remotely piloted aircraft includes a virtual aperture radar system including a plurality of antennas relationally positioned on one or more surfaces of the aircraft such that individual beams from each of the plurality of antennas scan respective volumes around the aircraft and the respective volumes together substantially form an ellipsoidal field of regard around the aircraft, and a computing device having one or more processors configured to execute instructions stored in memory for performing functions of: combining the respective volumes together to form an image representative of the ellipsoidal field of regard around the aircraft, and identifying one or more objects within the image.

A system to assess the current, or future workload of a pilot and automatically providing annunciation when needed to the pilot, as well as to resources that support the pilot. The system may automatically, and without pilot involvement, assess the workload for the pilot based on incoming events and abnormal scenarios. The predicted incoming events may be related to operation data, such as navigation information, weather, traffic avoidance, and so on. The system may also detect abnormal scenarios, such as engine warnings, fuel or other aircraft issues. The system may determine whether the predicted incoming events or the abnormal scenario satisfies one or more pre-defined criteria. Based on the event satisfying one or more criteria, the system may output an annunciation to either the pilot, resources that support the pilot, such as an additional pilot and air traffic control (ATC).

A system and method for an ownship aircraft auto transition from an assigned spacing application to a visual separation application provides the ability to intuitively pre-configure for and execute an automatic transition from an assigned spacing traffic application managing an assigned interval spacing to a traffic application managing visual separation from an assigned target aircraft. This feature enables integration between separate traffic applications, creating new capabilities while reducing the workload on the pilot during a particularly busy phase of flight.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a driving scenario machine learning network and providing a simulated driving environment. One of the operations is performed by receiving video data that includes multiple video frames depicting an aerial view of vehicles moving about an area. The video data is processed and driving scenario data is generated which includes information about the dynamic objects identified in the video. A machine learning network is trained using the generated driving scenario data. A 3-dimensional simulated environment is provided which is configured to allow an autonomous vehicle to interact with one or more of the dynamic objects.

An autonomous vehicle system includes a body and a plurality of sensors coupled to the body and configured to generate a plurality of sensor measurements corresponding to the plurality of sensors. The system also includes a control unit configured to: receive inputs from a plurality of sources wherein the plurality sources comprise the plurality of sensors, the inputs comprise the plurality of sensor measurements; determine a confidence level of each input based on other inputs; prioritize, based on the confidence level associated with each input, the inputs; generate, based on the prioritization of the inputs and the confidence level, a combined input with a combined confidence level; and determine, based on the combined input and the combined confidence level, a mission task to be performed.

Systems, methods, and non-transitory computer readable media for identifying a cockpit alert context during an aircraft mission are provided. The system includes a controller configured to: store message content in a clearance look-up table for one or more clearance messages received from air traffic control (ATC) during the aircraft mission that contain cockpit data about which an avionic system in an aircraft may later sense and generate a cockpit system alert for display on a cockpit display device; monitor a plurality of avionic systems in the aircraft for a cockpit system alert; retrieve an ATC clearance message from the clearance look-up table that corresponds to a detected cockpit system alert when a cockpit system alert is detected; and signal an aircraft display device to display the ATC clearance message in a visually distinguishable manner that indicates that the displayed ATC clearance message relates to a detected cockpit system alert.

A method and system for continuously re-planning a vehicle's path, in the face of stationary and moving obstacles, dynamically calculates a new path in real time which is both efficient and maintains minimum safety clearances relative to obstacles. Repulsion signals emanating from obstacles and propagating through delineated sections of a grid representing a geographic space are summed along with values representing the relative distance of the sections from the vehicle origin and vehicle destination. The grid sections having optimal values according to a predetermined criteria represent an efficient and safe travel path between the vehicle origin and destination.

Provided is a method of avoiding collision of an unmanned aerial vehicle with an obstacle, the method including: calculating two potential fields using ament positional information of the unmanned aerial vehicle, a target point that is set, and positional information of the obstacle measured by a sensor, computing an attractive force and a repulsive force by differentiating the computed potential fields, respectively; computing a direction of a potential force that results from adding up the computed attractive force and repulsive force; and performing control that brings about a change from the computed direction of the potential force to a direction in which the unmanned aerial vehicle moves.

A method for collecting flight data from aircraft. Each aircraft in a set of collecting aircraft collects information of ADS-B type received from other aircraft and associates contextual information with the received information of ADS-B type. Additionally, each aircraft in the set of collecting aircraft transmits the received information of ADS-B type, as well as the associated contextual information, to a common server. The common server receives and stores the information transmitted by the various aircraft in the set of collecting aircraft. The stored information is filtered so as to exclude information of ADS-B type which is incoherent taking into account contextual information. At least some of the filtered information is transmitted to a user.

A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.